With over 20,000 genes, 200,000 proteins and thousands of pathways, you can’t measure everything in a cell at once, but you can measure what provides the energy that drives them—metabolism.
Agilent Seahorse XF Analysis uses label-free technology to detect discrete changes in cell bioenergetics in real-time, providing a window into the critical functions driving cell signaling, proliferation, activation, toxicity and biosynthesis.
Move beyond analyzing what your cells are, and reveal a clearer picture of what they do.
Real-Time, Label Free, Live Cell Analysis
Agilent Seahorse XF Technology simplifies cell energy metabolic analysis. Instruments, sensor cartridge, assay kits and software combine seamlessly to provide powerful metabolic data from live cells in real-time.
Mitochondrial function and glycolysis play critical roles in a variety of cellular processes, including cellular activation, proliferation, differentiation, cell death, and disease progression. Discover how real-time, live cell analysis can provide a complete picture of what's driving your cell's phenotype and function.
Cancer cells reprogram their metabolism in order to generate the energy and building blocks they need to proliferate. Agilent Seahorse XF technology provides a window into the Warburg effect, fuel usage and other events that drive tumor cell biology.
Immunometabolism has emerged as a crucial component to understand the connection between metabolic pathways and immune responses. Seahorse XF Technology enables researchers to understand and perturb immune activation and response in real-time through metabolic measurements.
Research into metabolic profiles and changes is enabling insight into browning, substrate and nutrient utilization, and inflammation. Agilent Seahorse XF technology provides the capability to examine functional metabolism in models of cellular metabolic syndromes.
Metabolic shift in induced pluripotent stem cells (iPSCs), has a significant importance in establishing pluripotent identity. Using Agilent Seahorse XF technology, researchers can predict the ability of somatic cell reprogramming to iPSCs, and how PSCs alter their metabolism during the differentiation process to terminally differentiated cells.